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Stock Price Prediction Using LSTM on Indian Share Market
4 references·9 citing·47 second hop
Stock Price Prediction Using LSTM on Indian Share Market (2019)Stock Price Prediction Using LSTM on Indi…Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data (2019)Forecasting stock prices with…Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Stock price prediction using …Predicting Stock Prices Using LSTM (2017)Predicting Stock Prices Using…EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)EFFICIENT CAPITAL MARKETS: A …MDF-DMC: A stock prediction model combining multi-view stock data features with dynamic market correlation information (2023)MDF-DMC: A stock prediction m…Stock Market Prediction with High Accuracy using Machine Learning Techniques (2022)Stock Market Prediction with …Asian stock markets closing index forecast based on secondary decomposition, multi-factor analysis and attention-based LSTM model (2022)Asian stock markets closing i…A comprehensive review on multiple hybrid deep learning approaches for stock prediction (2022)A comprehensive review on mul…Stock Price Prediction Using ARIMA, Neural Network and LSTM Models (2021)Stock Price Prediction Using …Stock prediction and mutual fund portfolio management using curve fitting techniques (2021)Stock prediction and mutual f…Importance of Machine Learning in Making Investment Decision in Stock Market (2021)Importance of Machine Learnin…Explainable stock prices prediction from financial news articles using sentiment analysis (2021)Explainable stock prices pred…Improving Financial Time Series Prediction Accuracy Using Ensemble Empirical Mode Decomposition and Recurrent Neural Networks (2020)Improving Financial Time Seri…CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)The Behavior of Stock-Market Prices (1965)The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets (1965)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Users of the world, unite! 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(1991)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Enhanced prediction of stock markets using a novel deep learning model PLSTM-TAL in urbanized smart cities (2024)Major Issues in High-Frequency Financial Data Analysis: A Survey of Solutions (2025)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models (2018)Effect of public sentiment on stock market movement prediction during the COVID-19 outbreak (2022)GCNET: Graph-based prediction of stock price movement using graph convolutional network (2022)An integrated approach of ensemble learning methods for stock index prediction using investor sentiments (2023)Study of Effectiveness of Time Series Modeling (Arima) in Forecasting Stock Prices (2014)Stock Market Prediction Using LSTM Recurrent Neural Network (2020)Multimodal market information fusion for stock price trend prediction in the pharmaceutical sector (2024)Time series forecasting using a hybrid ARIMA and neural network model (2003)Financial time series forecasting model based on CEEMDAN and LSTM (2018)A novel hybrid model for stock price forecasting integrating Encoder Forest and Informer (2023)Carbon price forecasting based on secondary decomposition and feature screening (2023)Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition (2023)Stock market's price movement prediction with LSTM neural networks (2017)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)Challenge and Opportunity: Deep Learning-Based Stock Price Prediction by Using Bi-Directional LSTM Model (2023)Forecasting multistep daily stock prices for long-term investment decisions: A study of deep learning models on global indices (2023)Deep learning for financial forecasting: A review of recent trends (2025)Time Series Analysis, Forecasting and Control. (1971)Twitter mood predicts the stock market (2011)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Deep LSTM and LSTM-Attention Q-learning based reinforcement learning in oil and gas sector prediction (2023)A Dual Output Temporal Convolutional Network With Attention Architecture for Stock Price Prediction and Risk Assessment (2025)A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions (2021)Novel optimization approach for stock price forecasting using multi-layered sequential LSTM (2022)Machine learning approaches in stock market prediction: A systematic literature review (2023)
this work references cited by second hop

References

  • 1970EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK*15,723 cited
  • 2017Stock price prediction using LSTM, RNN and CNN-sliding window model1,096 cited
  • 2019Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data342 cited
  • 2017Predicting Stock Prices Using LSTM269 cited

Cited by

  • 2022A comprehensive review on multiple hybrid deep learning approaches for stock prediction136 cited
  • 2021Explainable stock prices prediction from financial news articles using sentiment analysis112 cited
  • 2022Stock Market Prediction with High Accuracy using Machine Learning Techniques108 cited
  • 2022Asian stock markets closing index forecast based on secondary decomposition, multi-factor analysis and attention-based LSTM model84 cited
  • 2020Improving Financial Time Series Prediction Accuracy Using Ensemble Empirical Mode Decomposition and Recurrent Neural Networks48 cited
  • 2021Stock Price Prediction Using ARIMA, Neural Network and LSTM Models41 cited
  • 2021Stock prediction and mutual fund portfolio management using curve fitting techniques38 cited
  • 2021Importance of Machine Learning in Making Investment Decision in Stock Market35 cited
  • 2023MDF-DMC: A stock prediction model combining multi-view stock data features with dynamic market correlation information32 cited

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